Jasmine Paolini vs. Sonay Kartal prediction, odds, picks for WTA Wuhan Open 2026

Using powerful machine learning and statistical analysis, we have re-simulated the outcome of Thursday's Paolini-Kartal women's singles match, forming part of our tennis predictions coverage.

Our independent predictive model gives Paolini a 52% chance of beating Kartal at the WTA Wuhan Open tournament. Additionally, Paolini has a 52% chance of winning the first set, while the under 22.5 games has a 54% chance of hitting, according to our model.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Sonay Kartal +100, Jasmine Paolini -118
• First Set: Paolini -125, Kartal +100

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our probabilities against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Paolini @ -118 via DraftKings
• First Set: Kartal @ -130 via DraftKings

According to our tennis best bets, the top play to make on this match is Jasmine Paolini to win.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Wuhan Open match between Jasmine Paolini and Sonay Kartal is scheduled to start on Thursday at 1:20 AM ET.

• Who: Jasmine Paolini vs. Sonay Kartal
• Date: Thursday, October 15, 2026
• Approx. Time: 1:20 AM ET/10:20PM PT
• Tournament: WTA Wuhan, China Women's Singles 2026
• Round: Round of 16

All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Jasmine Paolini, with a 52% win probability, will likely beat Sonay Kartal at the WTA Wuhan Open tournament.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary Tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.